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/*=========================================================================
*
* Copyright NumFOCUS
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
// Software Guide : BeginLatex
//
// The following example illustrates how to use the
// \doxygen{BSplineInterpolateImageFunction} for resampling an image. In
// this particular case an \doxygen{AffineTransform} is used to map the input
// space into the output space.
//
// \index{itk::AffineTransform!resampling}
//
// Software Guide : EndLatex
#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkResampleImageFilter.h"
#include "itkBSplineInterpolateImageFunction.h"
// Software Guide : BeginLatex
//
// The header of the affine transform is included below.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
#include "itkAffineTransform.h"
// Software Guide : EndCodeSnippet
int
main(int argc, char * argv[])
{
if (argc < 4)
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << " inputImageFile outputImageFile degrees"
<< std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int Dimension = 2;
using InputPixelType = unsigned char;
using OutputPixelType = unsigned char;
using InputImageType = itk::Image<InputPixelType, Dimension>;
using OutputImageType = itk::Image<OutputPixelType, Dimension>;
using ReaderType = itk::ImageFileReader<InputImageType>;
using WriterType = itk::ImageFileWriter<OutputImageType>;
auto reader = ReaderType::New();
auto writer = WriterType::New();
reader->SetFileName(argv[1]);
writer->SetFileName(argv[2]);
const double angleInDegrees = std::stod(argv[3]);
// Software Guide : BeginLatex
//
// The Resampling filter is instantiated and created just like in previous
// examples. The Transform is instantiated and connected to the resampling
// filter.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
using FilterType =
itk::ResampleImageFilter<InputImageType, OutputImageType>;
auto filter = FilterType::New();
using TransformType = itk::AffineTransform<double, Dimension>;
auto transform = TransformType::New();
filter->SetTransform(transform);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The salient feature of this example is the use of the
// \doxygen{BSplineInterpolateImageFunction}, which uses cubic BSplines in
// order to interpolate the resampled image.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
using InterpolatorType =
itk::BSplineInterpolateImageFunction<InputImageType, double>;
auto interpolator = InterpolatorType::New();
filter->SetInterpolator(interpolator);
filter->SetDefaultPixelValue(100);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The parameters of the output image are taken from the input image.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
reader->Update();
const InputImageType::SpacingType & spacing =
reader->GetOutput()->GetSpacing();
const InputImageType::PointType & origin = reader->GetOutput()->GetOrigin();
const InputImageType::DirectionType & direction =
reader->GetOutput()->GetDirection();
InputImageType::SizeType size =
reader->GetOutput()->GetLargestPossibleRegion().GetSize();
filter->SetOutputOrigin(origin);
filter->SetOutputSpacing(spacing);
filter->SetOutputDirection(direction);
filter->SetSize(size);
// Software Guide : EndCodeSnippet
filter->SetInput(reader->GetOutput());
writer->SetInput(filter->GetOutput());
TransformType::OutputVectorType translation1;
const double imageCenterX = origin[0] + spacing[0] * size[0] / 2.0;
const double imageCenterY = origin[1] + spacing[1] * size[1] / 2.0;
translation1[0] = -imageCenterX;
translation1[1] = -imageCenterY;
transform->Translate(translation1);
std::cout << "imageCenterX = " << imageCenterX << std::endl;
std::cout << "imageCenterY = " << imageCenterY << std::endl;
const double degreesToRadians = std::atan(1.0) / 45.0;
const double angle = angleInDegrees * degreesToRadians;
transform->Rotate2D(-angle, false);
TransformType::OutputVectorType translation2;
translation2[0] = imageCenterX;
translation2[1] = imageCenterY;
transform->Translate(translation2, false);
// Software Guide : BeginLatex
//
// The output of the resampling filter is connected to a writer and the
// execution of the pipeline is triggered by a writer update.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
try
{
writer->Update();
}
catch (const itk::ExceptionObject & excep)
{
std::cerr << "Exception caught !" << std::endl;
std::cerr << excep << std::endl;
}
// Software Guide : EndCodeSnippet
return EXIT_SUCCESS;
}
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